ThresholdedRelu#
ThresholdedRelu - 10#
Version#
name: ThresholdedRelu (GitHub)
domain:
main
since_version:
10
function:
True
support_level:
SupportType.COMMON
shape inference:
True
This version of the operator has been available since version 10.
Summary#
ThresholdedRelu takes one input data (Tensor
Function Body#
The function definition for this operator.
<
domain: "",
opset_import: ["" : 18]
>
ThresholdedRelu <alpha>(X) => (Y)
{
Alpha = Constant <value_float: float = @alpha> ()
AlphaCast = CastLike (Alpha, X)
Zero = Constant <value: tensor = float {0}> ()
ZeroCast = CastLike (Zero, X)
AlphaLessThanX = Less (AlphaCast, X)
Y = Where (AlphaLessThanX, X, ZeroCast)
}
Attributes#
alpha - FLOAT (default is
'1.0'
):Threshold value
Inputs#
X (heterogeneous) - T:
Input tensor
Outputs#
Y (heterogeneous) - T:
Output tensor
Type Constraints#
T in (
tensor(double)
,tensor(float)
,tensor(float16)
):Constrain input and output types to float tensors.